Swedish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of the Science of Food and Agriculture 2013-Dec

Metabolite profiling and quantification of phytochemicals in potato extracts using ultra-high-performance liquid chromatography-mass spectrometry.

Endast registrerade användare kan översätta artiklar
Logga in Bli medlem
Länken sparas på Urklipp
Esther Swee Lan Chong
Tony K McGhie
Julian A Heyes
Kathryn M Stowell

Nyckelord

Abstrakt

BACKGROUND

Potatoes contain a diverse range of phytochemicals which have been suggested to have health benefits. Metabolite profiling and quantification were conducted on plant extracts made from a white potato cultivar and 'Urenika', a purple potato cultivar traditionally consumed by New Zealand Maori. There is limited published information regarding the metabolite profile of Solanum tuberosum cultivar 'Urenika'.

RESULTS

Using ultra-high- performance liquid chromatography-mass spectrometry (UHPLC-MS), a total of 31 compounds were identified and quantified in the potato extracts. The majority of the compounds were identified for the first time in 'Urenika'. These compounds include several types of anthocyanins, hydroxycinnamic acid (HCA) derivatives, and hydroxycinnamic amides (HCAA). Six classes of compounds, namely organic acids, amino acids, HCA, HCAA, flavonols and glycoalkaloids, were present in both extracts but quantities varied between the two extracts.

CONCLUSIONS

The unknown plant metabolites in both potato extracts were assigned with molecular formulae and identified with high confidence. Quantification of the metabolites was achieved using a number of appropriate standards. High-resolution mass spectrometry data critical for accurate identification of unknown phytochemicals were achieved and could be added to potato or plant metabolomic database.

Gå med på vår
facebook-sida

Den mest kompletta databasen med medicinska örter som stöds av vetenskapen

  • Fungerar på 55 språk
  • Växtbaserade botemedel som stöds av vetenskap
  • Örter igenkänning av bild
  • Interaktiv GPS-karta - märka örter på plats (kommer snart)
  • Läs vetenskapliga publikationer relaterade till din sökning
  • Sök efter medicinska örter efter deras effekter
  • Organisera dina intressen och håll dig uppdaterad med nyheterna, kliniska prövningar och patent

Skriv ett symptom eller en sjukdom och läs om örter som kan hjälpa, skriv en ört och se sjukdomar och symtom den används mot.
* All information baseras på publicerad vetenskaplig forskning

Google Play badgeApp Store badge